{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv(\"boston_housing.csv\")\n",
    "data.head();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 14 columns):\n",
      "CRIM       506 non-null float64\n",
      "ZN         506 non-null int64\n",
      "INDUS      506 non-null float64\n",
      "CHAS       506 non-null int64\n",
      "NOX        506 non-null float64\n",
      "RM         506 non-null float64\n",
      "AGE        506 non-null float64\n",
      "DIS        506 non-null float64\n",
      "RAD        506 non-null int64\n",
      "TAX        506 non-null int64\n",
      "PTRATIO    506 non-null int64\n",
      "B          506 non-null float64\n",
      "LSTAT      506 non-null float64\n",
      "MEDV       506 non-null float64\n",
      "dtypes: float64(9), int64(5)\n",
      "memory usage: 55.4 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.347826</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284634</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>9.549407</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.083004</td>\n",
       "      <td>356.674032</td>\n",
       "      <td>12.653063</td>\n",
       "      <td>22.532806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.310593</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>8.707259</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.280574</td>\n",
       "      <td>91.294864</td>\n",
       "      <td>7.141062</td>\n",
       "      <td>9.197104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.885500</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>375.377500</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>17.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208500</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>391.440000</td>\n",
       "      <td>11.360000</td>\n",
       "      <td>21.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.677082</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.623500</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>396.225000</td>\n",
       "      <td>16.955000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     3.613524   11.347826   11.136779    0.069170    0.554695    6.284634   \n",
       "std      8.601545   23.310593    6.860353    0.253994    0.115878    0.702617   \n",
       "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
       "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
       "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
       "75%      3.677082   12.000000   18.100000    0.000000    0.624000    6.623500   \n",
       "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean    68.574901    3.795043    9.549407  408.237154   18.083004  356.674032   \n",
       "std     28.148861    2.105710    8.707259  168.537116    2.280574   91.294864   \n",
       "min      2.900000    1.129600    1.000000  187.000000   12.000000    0.320000   \n",
       "25%     45.025000    2.100175    4.000000  279.000000   17.000000  375.377500   \n",
       "50%     77.500000    3.207450    5.000000  330.000000   19.000000  391.440000   \n",
       "75%     94.075000    5.188425   24.000000  666.000000   20.000000  396.225000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT        MEDV  \n",
       "count  506.000000  506.000000  \n",
       "mean    12.653063   22.532806  \n",
       "std      7.141062    9.197104  \n",
       "min      1.730000    5.000000  \n",
       "25%      6.950000   17.025000  \n",
       "50%     11.360000   21.200000  \n",
       "75%     16.955000   25.000000  \n",
       "max     37.970000   50.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在Boston房价预测数据集中，所有特征均为数值型特征（RAD为高速公路便利指数，亦可视为类别型特征；CHAS为0/1编码，为类别型特征）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD', 'TAX',\n",
      "       'PTRATIO', 'B', 'LSTAT', 'MEDV'],\n",
      "      dtype='object')\n",
      "['CRIM' 'ZN' 'INDUS' 'NOX' 'RM' 'AGE' 'DIS' 'TAX' 'PTRATIO' 'B' 'LSTAT'\n",
      " 'MEDV']\n"
     ]
    }
   ],
   "source": [
    "columns=data.columns\n",
    "print(columns)\n",
    "caterigory_col=['RAD','CHAS']\n",
    "numberic_col=columns.drop(caterigory_col).values\n",
    "print(numberic_col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data[\"AGE\"], bins=30, kde=True)\n",
    "plt.xlabel(\"Age\", fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x227fba0b630>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = data[numberic_col].corr()\n",
    "sns.heatmap(data_corr,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = data_corr.abs()\n",
    "plt.subplots(figsize=(13, 9))\n",
    "sns.heatmap(data_corr,annot=True)\n",
    "# 突出相关系数大于0.5的\n",
    "sns.heatmap(data_corr, mask=data_corr < 0.5, cbar=False)\n",
    "plt.savefig(\"house_coor.png\" )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "查看类间相关大于0.5的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NOX and DIS = 0.77\n",
      "INDUS and NOX = 0.76\n",
      "AGE and DIS = 0.75\n",
      "LSTAT and MEDV = 0.74\n",
      "NOX and AGE = 0.73\n",
      "INDUS and TAX = 0.72\n",
      "INDUS and DIS = 0.71\n",
      "RM and MEDV = 0.70\n",
      "NOX and TAX = 0.67\n",
      "ZN and DIS = 0.66\n",
      "INDUS and AGE = 0.64\n",
      "RM and LSTAT = 0.61\n",
      "INDUS and LSTAT = 0.60\n",
      "AGE and LSTAT = 0.60\n",
      "NOX and LSTAT = 0.59\n",
      "CRIM and TAX = 0.58\n",
      "ZN and AGE = 0.57\n",
      "TAX and LSTAT = 0.54\n",
      "DIS and TAX = 0.53\n",
      "ZN and INDUS = 0.53\n",
      "ZN and NOX = 0.52\n",
      "AGE and TAX = 0.51\n",
      "PTRATIO and MEDV = 0.51\n"
     ]
    }
   ],
   "source": [
    "threshold = 0.5\n",
    "corr_list = []\n",
    "size = data_corr.shape[0]\n",
    "for i in range(0, size): \n",
    "    for j in range(i+1,size): \n",
    "        if (data_corr.iloc[i,j] >= threshold and data_corr.iloc[i,j] < 1) or (data_corr.iloc[i,j] < 0 and data_corr.iloc[i,j] <= -threshold):\n",
    "            corr_list.append([data_corr.iloc[i,j],i,j]) \n",
    "s_corr_list = sorted(corr_list,key=lambda x: -abs(x[0]))\n",
    "for v,i,j in s_corr_list:\n",
    "    print (\"%s and %s = %.2f\" % (numberic_col[i],numberic_col[j],v))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "有很多具有较强相关性的参数。这里再后面在模型层面用正则项来解决"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "分离X与Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = data['MEDV']\n",
    "X = data.drop('MEDV', axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RAD和CHAS是类别型变量，要进行亚热编码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "X[\"RAD\"].astype(\"object\")\n",
    "X_rad = X[\"RAD\"]\n",
    "X_rad = pd.get_dummies(X_rad, prefix=\"RAD\")\n",
    "#特征名称，用于保存特征工程结果\n",
    "feat_names = X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RAD_1</th>\n",
       "      <th>RAD_2</th>\n",
       "      <th>RAD_3</th>\n",
       "      <th>RAD_4</th>\n",
       "      <th>RAD_5</th>\n",
       "      <th>RAD_6</th>\n",
       "      <th>RAD_7</th>\n",
       "      <th>RAD_8</th>\n",
       "      <th>RAD_24</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   RAD_1  RAD_2  RAD_3  RAD_4  RAD_5  RAD_6  RAD_7  RAD_8  RAD_24\n",
       "0      1      0      0      0      0      0      0      0       0\n",
       "1      0      1      0      0      0      0      0      0       0\n",
       "2      0      1      0      0      0      0      0      0       0\n",
       "3      0      0      1      0      0      0      0      0       0\n",
       "4      0      0      1      0      0      0      0      0       0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_rad.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "log_y = np.log1p(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "ss_X = MinMaxScaler()\n",
    "ss_y = MinMaxScaler()\n",
    "ss_log_y = MinMaxScaler()\n",
    "X = ss_X.fit_transform(X)\n",
    "y = ss_y.fit_transform(y.values.reshape(-1, 1))\n",
    "log_y = ss_y.fit_transform(log_y.values.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "fe_data = pd.DataFrame(data = X, columns = feat_names, index = data.index)\n",
    "fe_data = pd.concat([fe_data, X_rad], axis = 1, ignore_index=False)\n",
    "\n",
    "#加上标签y\n",
    "fe_data[\"MEDV\"] = y\n",
    "fe_data[\"log_MEDV\"] = log_y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "fe_data.to_csv('FE_boston_housing.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 24 columns):\n",
      "CRIM        506 non-null float64\n",
      "ZN          506 non-null float64\n",
      "INDUS       506 non-null float64\n",
      "CHAS        506 non-null float64\n",
      "NOX         506 non-null float64\n",
      "RM          506 non-null float64\n",
      "AGE         506 non-null float64\n",
      "DIS         506 non-null float64\n",
      "RAD         506 non-null float64\n",
      "TAX         506 non-null float64\n",
      "PTRATIO     506 non-null float64\n",
      "B           506 non-null float64\n",
      "LSTAT       506 non-null float64\n",
      "RAD_1       506 non-null uint8\n",
      "RAD_2       506 non-null uint8\n",
      "RAD_3       506 non-null uint8\n",
      "RAD_4       506 non-null uint8\n",
      "RAD_5       506 non-null uint8\n",
      "RAD_6       506 non-null uint8\n",
      "RAD_7       506 non-null uint8\n",
      "RAD_8       506 non-null uint8\n",
      "RAD_24      506 non-null uint8\n",
      "MEDV        506 non-null float64\n",
      "log_MEDV    506 non-null float64\n",
      "dtypes: float64(15), uint8(9)\n",
      "memory usage: 63.8 KB\n"
     ]
    }
   ],
   "source": [
    "fe_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>CRIM</th>\n",
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       "      <th>INDUS</th>\n",
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       "      <th>NOX</th>\n",
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       "      <th>DIS</th>\n",
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       "      <th>RAD_2</th>\n",
       "      <th>RAD_3</th>\n",
       "      <th>RAD_4</th>\n",
       "      <th>RAD_5</th>\n",
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       "      <th>RAD_7</th>\n",
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       "      <th>RAD_24</th>\n",
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       "      <td>0.660000</td>\n",
       "      <td>0.833335</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.063050</td>\n",
       "      <td>0.0</td>\n",
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       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       CRIM    ZN     INDUS  CHAS       NOX        RM       AGE       DIS  \\\n",
       "0  0.000000  0.18  0.067815   0.0  0.314815  0.577505  0.641607  0.269203   \n",
       "1  0.000236  0.00  0.242302   0.0  0.172840  0.547998  0.782698  0.348962   \n",
       "2  0.000236  0.00  0.242302   0.0  0.172840  0.694386  0.599382  0.348962   \n",
       "3  0.000293  0.00  0.063050   0.0  0.150206  0.658555  0.441813  0.448545   \n",
       "4  0.000705  0.00  0.063050   0.0  0.150206  0.687105  0.528321  0.448545   \n",
       "\n",
       "        RAD       TAX  ...  RAD_2  RAD_3  RAD_4  RAD_5  RAD_6  RAD_7  RAD_8  \\\n",
       "0  0.000000  0.208015  ...      0      0      0      0      0      0      0   \n",
       "1  0.043478  0.104962  ...      1      0      0      0      0      0      0   \n",
       "2  0.043478  0.104962  ...      1      0      0      0      0      0      0   \n",
       "3  0.086957  0.066794  ...      0      1      0      0      0      0      0   \n",
       "4  0.086957  0.066794  ...      0      1      0      0      0      0      0   \n",
       "\n",
       "   RAD_24      MEDV  log_MEDV  \n",
       "0       0  0.422222  0.666856  \n",
       "1       0  0.368889  0.619696  \n",
       "2       0  0.660000  0.833335  \n",
       "3       0  0.631111  0.816001  \n",
       "4       0  0.693333  0.852567  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fe_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "特征工程到这里就结束了"
   ]
  }
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